ArticleCancer research2009
Cytogenetic and cDNA microarray expression analysis of MCF10 human breast cancer progression cell lines.
Article in Cancer research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 48 citations in OpenAlex.
- Article
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- Actin Cytoskeleton and Focal Adhesions Regulate the Biased Migration of Breast Cancer Cells on Nanoscale Asymmetric Sawteeth.ACS nano · 2019Article
- Electromagnetic fields alter the motility of metastatic breast cancer cells.Communications biology · 2019Article
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- Inertial Microfluidic Cell Stretcher (iMCS): Fully Automated, High-Throughput, and Near Real-Time Cell Mechanotyping.Small (Weinheim an der Bergstrasse, Germany) · 2017Article
- A Simple Marker-Assisted 3D Nanometer Drift Correction Method for Superresolution Microscopy.Biophysical journal · 2017Article
- Three-dimensional modelling identifies novel genetic dependencies associated with breast cancer progression in the isogenic MCF10 model.The Journal of pathology · 2016Article
- SMARCA4 regulates gene expression and higher-order chromatin structure in proliferating mammary epithelial cells.Genome research · 2016Article
- Chromosomes at Work: Organization of Chromosome Territories in the Interphase Nucleus.Journal of cellular biochemistry · 2016Article
- Chromatin interaction analysis reveals changes in small chromosome and telomere clustering between epithelial and breast cancer cells.Genome biology · 2015Article
- Comparative regulation of gene expression by 1,25-dihydroxyvitamin D3 in cells derived from normal mammary tissue and breast cancer.The Journal of steroid biochemistry and molecular biology · 2015Review
- Article
- Modeling time-dependent transcription effects of HER2 oncogene and discovery of a role for E2F2 in breast cancer cell-matrix adhesion.Bioinformatics (Oxford, England) · 2014Article
- Wide-scale alterations in interchromosomal organization in breast cancer cells: defining a network of interacting chromosomes.Human molecular genetics · 2014Article
- High-efficiency genome editing via 2A-coupled co-expression of fluorescent proteins and zinc finger nucleases or CRISPR/Cas9 nickase pairs.Nucleic acids research · 2014Article
- Corrections for mRNA extraction and sample normalization errors find increased mRNA levels may compensate for cancer haplo-insufficiency.Genes, chromosomes & cancer · 2014Article
- Differentiation of cancer cells in two-dimensional and three-dimensional breast cancer models by Raman spectroscopy.Journal of biomedical optics · 2013Article
- Alterations in replication timing of cancer-related genes in malignant human breast cancer cells.Journal of cellular biochemistry · 2013Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
We used a combination of spectral karyotyping, array comparative genomic hybridization, and cDNA microarrays to gain insights into the structural and functional changes of the genome in the MCF10 human breast cancer progression model cell lines. Spectral karyotyping data showed several chromosomal aberrations and array comparative genomic hybridization analysis identified numerous genomic gains and losses that might be involved in the progression toward cancer. Analysis of the expression levels of genes located within these genomic regions revealed a lack of correlation between chromosomal gains and losses and corresponding up-regulation or down-regulation for the majority of the approximately 1,000 genes analyzed in this study. We conclude that other mechanisms of gene regulation that are not directly related to chromosomal gains and losses play a major role in breast cancer progression.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.